To assess the benefits of a specialized system for serverless ML training,
we compare MLLess against PyTorch [1]} and PyWren-IBM [2]}. We use PyTorch as a representative of an IaaS-based ML library. We adopt PyWren-IBM to verify that a vanilla, non-specialized design of
MLLess would have been dramatically inefficient.
